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Associations between Multimorbidity and Physical Performance in Older Chinese Adults

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  • Shan-Shan Yao

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Medical Informatics Center, Peking University, Beijing 100191, China)

  • Xiangfei Meng

    (Department of Psychiatry, McGill University, Montreal, QC H3A1A1, Canada)

  • Gui-Ying Cao

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Medical Informatics Center, Peking University, Beijing 100191, China)

  • Zi-Ting Huang

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Medical Informatics Center, Peking University, Beijing 100191, China)

  • Zi-Shuo Chen

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Medical Informatics Center, Peking University, Beijing 100191, China)

  • Ling Han

    (Department of Medicine, Yale School of Medicine, New Haven, CT 06510, USA)

  • Kaipeng Wang

    (Graduate School of Social Work, University of Denver, Denver, CO 80208, USA)

  • He-Xuan Su

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Medical Informatics Center, Peking University, Beijing 100191, China)

  • Yan Luo

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Medical Informatics Center, Peking University, Beijing 100191, China)

  • Yonghua Hu

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Medical Informatics Center, Peking University, Beijing 100191, China)

  • Beibei Xu

    (Medical Informatics Center, Peking University, Beijing 100191, China)

Abstract

Background : Evidence on the association between physical performance and multimorbidity is scarce in Asia. This study aimed to identify multimorbidity patterns and their association with physical performance among older Chinese adults. Methods : Individuals aged ≥60 years from the China Health and Retirement Longitudinal Study 2011–2015 ( N = 10,112) were included. Physical performance was measured by maximum grip strength (kg) and average gait speed (m/s) categorized as fast (>0.8 m/s), median (>0.6–0.8 m/s), and slow (≤0.6 m/s). Multimorbidity patterns were explored using exploratory factor analysis. Generalized estimating equation was conducted. Results : Four multimorbidity patterns were identified: cardio–metabolic, respiratory, mental–sensory, and visceral–arthritic. An increased number of chronic conditions was associated with decreased normalized grip strength (NGS). Additionally, the highest quartile of factor scores for cardio–metabolic (β = −0.06; 95% Confidence interval (CI) = −0.07, −0.05), respiratory (β = −0.03; 95% CI = −0.05, −0.02), mental–sensory (β = −0.04; 95% CI = −0.05, −0.03), and visceral–arthritic (β = −0.04; 95% CI = −0.05, −0.02) patterns were associated with lower NGS compared with the lowest quartile. Participants with ≥4 chronic conditions were 2.06 times more likely to have a slow gait speed. Furthermore, the odds ratios for the highest quartile of factor scores of four patterns with slow gait speed compared with the lowest quartile ranged from 1.26–2.01. Conclusion : Multimorbidity was related to worse physical performance, and multimorbidity patterns were differentially associated with physical performance. A shift of focus from single conditions to the requirements of a complex multimorbid population was needed for research, clinical guidelines, and health-care services. Grip strength and gait speed could be targeted to routinely measure clinical performance among older adults with multimorbidity, especially mental–sensory disorders, in clinical settings.

Suggested Citation

  • Shan-Shan Yao & Xiangfei Meng & Gui-Ying Cao & Zi-Ting Huang & Zi-Shuo Chen & Ling Han & Kaipeng Wang & He-Xuan Su & Yan Luo & Yonghua Hu & Beibei Xu, 2020. "Associations between Multimorbidity and Physical Performance in Older Chinese Adults," IJERPH, MDPI, vol. 17(12), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:12:p:4546-:d:375702
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    References listed on IDEAS

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    1. Caroline A Jackson & Annette J Dobson & Leigh R Tooth & Gita D Mishra, 2016. "Lifestyle and Socioeconomic Determinants of Multimorbidity Patterns among Mid-Aged Women: A Longitudinal Study," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-16, June.
    2. Valentin Walker & Christine Perret-Guillaume & Emmanuelle Kesse-Guyot & Nelly Agrinier & Serge Hercberg & Pilar Galan & Karen E Assmann & Serge Briançon & Christine Rotonda, 2016. "Effect of Multimorbidity on Health-Related Quality of Life in Adults Aged 55 Years or Older: Results from the SU.VI.MAX 2 Cohort," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-15, December.
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    1. Atina Husnayain & Nopryan Ekadinata & Dedik Sulistiawan & Emily Chia-Yu Su, 2020. "Multimorbidity Patterns of Chronic Diseases among Indonesians: Insights from Indonesian National Health Insurance (INHI) Sample Data," IJERPH, MDPI, vol. 17(23), pages 1-12, November.
    2. Yiming Chen & Lei Shi & Xiao Zheng & Juan Yang & Yaqing Xue & Shujuan Xiao & Benli Xue & Jiachi Zhang & Xinru Li & Huang Lin & Chao Ma & Chichen Zhang, 2022. "Patterns and Determinants of Multimorbidity in Older Adults: Study in Health-Ecological Perspective," IJERPH, MDPI, vol. 19(24), pages 1-15, December.

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